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NMDS to Study Dead Wood Fungi Communities in Parks of New Jersey
30 Jul 2019 | Teaching Materials | Contributor(s):
By Maria Shumskaya1, Christopher Zambell1
Kean University
Students use dead wood (saproxylic) fungi occurrence data from New Jersey, USA collected by students and faculty of Kean University to learn the basics of community ecology. Simple NMDS ordination...
https://qubeshub.org/publications/1367/?v=1
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An Introduction to the R Programming Environment
04 Jan 2019 | Teaching Materials | Contributor(s):
By K. A. Garrett1, P. D. Esker1, A. H. Sparks1
Kansas State University
An online module introducing students and biologists to R, published in American Phytopathological Society
https://qubeshub.org/publications/1002/?v=1
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Working with plant phenology data and fitting a nonlinear model using least squares in R
21 Dec 2018 | Teaching Materials | Contributor(s):
By Madeleine Bonsma-Fisher1, Ahmed Hasan1
University of Toronto
A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model todetermine when different species get and lose their leaves.
https://qubeshub.org/publications/978/?v=1
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Introduction to R Course
05 Nov 2018 | Teaching Materials
Free Introduction to R Course at DataCamp
https://qubeshub.org/publications/914/?v=1
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DataCamp
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
https://qubeshub.org/publications/913/?v=1
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Computational Biology using R
30 Oct 2018 | Teaching Materials | Contributor(s):
By Hong Qin
University of Tennessee Chattanooga
This is an introductory level course on computational biology.
https://qubeshub.org/publications/907/?v=1
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BIO103R: Bio 103 and 104 Labs in R at URI
29 Oct 2018 | Teaching Materials | Contributor(s):
By Rachel Schwartz1, Linda Forrester1
University of Rhode Island
GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island
https://qubeshub.org/publications/886/?v=1
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BIO 263 Ecological Data Analysis
29 Oct 2018 | Teaching Materials | Contributor(s):
By Rachel Schwartz1, Linda Forrester1
University of Rhode Island
Course materials for BIO 263 Ecological Data Analysis
https://qubeshub.org/publications/885/?v=1
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BIO 439/539: Big Data Analysis
29 Oct 2018 | Teaching Materials | Contributor(s):
By Rachel Schwartz1, Linda Forrester1
University of Rhode Island
Course materials for BIO 439/539: Big Data Analysis
https://qubeshub.org/publications/884/?v=1
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BIO 181G: The information age
29 Oct 2018 | Teaching Materials | Contributor(s):
By Rachel Schwartz1, Linda Forrester1
University of Rhode Island
Course materials for BIO181G: The information age
https://qubeshub.org/publications/883/?v=1
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Data Analysis for the Life Sciences
23 Oct 2018 | Teaching Materials | Contributor(s):
By Rafael A Irizarry1, Michael I Love1
Harvard University
An online stats book written completely in R
https://qubeshub.org/publications/841/?v=1
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R Reference Card
23 Oct 2018 | Teaching Materials | Contributor(s):
By Tom Short
EPRI PEAC
Summary of reference info for using R
https://qubeshub.org/publications/840/?v=1
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Rstudio cheatsheets
22 Oct 2018 | Teaching Materials
Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio.
https://qubeshub.org/publications/839/?v=1
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A Quick Guide to Teaching R Programming to Computational Biology Students
22 Oct 2018 | Teaching Materials | Contributor(s):
By Stephen Elgen
University of Cambridge
An introduction from an experienced educator in teaching R to computational biology graduate students.
https://qubeshub.org/publications/838/?v=1
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Ecology and Epidemiology in R
22 Oct 2018 | Teaching Materials | Contributor(s):
By Paul Esker
Kansas State University
Ecology and epidemiology in R: Modeling dispersal gradients.
https://qubeshub.org/publications/837/?v=1
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A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
https://qubeshub.org/publications/833/?v=1
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Linear Models and Linear Mixed Effects in R: Tutorial 1
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The first of two tutorials that introduce you to linear and linear mixed models.
https://qubeshub.org/publications/832/?v=1
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R for biologists
18 Oct 2018 | Teaching Materials | Contributor(s):
By Marco Martinez
University of Tennessee - Knoxville
An introductory guide to data analysis in R for life sciences researchers.
https://qubeshub.org/publications/815/?v=1
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Cookbook for R
11 Sep 2018 | Teaching Materials | Contributor(s):
By Winston Chang
The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.
https://qubeshub.org/publications/780/?v=1
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IPMpack: an R package for Integral Projection Models
11 Sep 2018 | Teaching Materials | Contributor(s):
By C. Jessica E. Metcalf1, Sean M. McMahon2, Roberto Salguero-Gómez3, Eelke Jongejans4, Cory Merow5
1. University of Oxford 2. Smithsonian Tropical Research Institute 3. University of Queensland 4. Radbound University Nijmegen 5. STRI and University of Connecticut
IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.
https://qubeshub.org/publications/779/?v=1